摘要
传统的二维Otsu法采用灰度级-平均灰度级二维直方图,针对传统二维直方图区域划分存在的不足,基于灰度级-梯度二维直方图,提出了一种引入积分图像的快速二维Otsu法,利用积分图像降低搜索二维直方图最佳阈值的计算复杂度,从而减少了计算量。实验结果表明,该方法具有良好的分割效果,大大地提高了计算速度,是一种快速有效且实时性好的阈值分割算法。
The traditional two-dimensional Otsu's threshold method uses gray level-average gray level two-dimensional histogram,but there are obvious deficiencies in the regional division of the traditional histogram.In this paper,an improved fast two-dimensional Otsu's threshold method with integral image based on gray level-gradient two-dimensional histogram was proposed.Using integral image to reduce the computational complexity in searching the best threshold value of two-dimensional histogram,thereby reducing the calculation amount.The results show that the method has a good segmentation effect which greatly and significantly increases the computing speed.Therefore,it is a fast and effective image segmentation method with a good real-time quality.
出处
《半导体光电》
CAS
CSCD
北大核心
2014年第6期1089-1092,1097,共5页
Semiconductor Optoelectronics
基金
国家自然科学基金项目(60677017)
关键词
图像分割
阈值选取
二维OTSU法
积分图像
image segmentation
threshold selection
2-D Otsu's method
integral image